Abstract
Providing an appropriate level of accessibility to and tracking of data or process elements in large volumes of medical data, is an essential requirement in the Big Data era. Researchers require systems that provide traceability of information through provenance data capture and management to support their clinical analyses. We present an approach that has been adopted in the neuGRID and N4U projects, which aimed to provide detailed traceability to support research analysis processes in the study of biomarkers for Alzheimer's disease, but is generically applicable across medical systems. To facilitate the orchestration of complex, large-scale analyses in these projects we have adapted CRISTAL, a workflow and provenance tracking solution. The use of CRISTAL has provided a rich environment for neuroscientists to track and manage the evolution of data and workflow usage over time in neuGRID and N4U.
Original language | English |
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Title of host publication | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 226-231 |
Number of pages | 6 |
Volume | 2015-July |
ISBN (Print) | 9781467367752 |
DOIs | |
Publication status | Published - Jul 24 2015 |
Event | 28th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2015 - Sao Carlos and Ribeirao Preto, Brazil Duration: Jun 22 2015 → Jun 25 2015 |
Other
Other | 28th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2015 |
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Country/Territory | Brazil |
City | Sao Carlos and Ribeirao Preto |
Period | 6/22/15 → 6/25/15 |
Keywords
- Biomedical Analysis
- Grid Computing
- Neuroimaging
- Provenance
- Workflows
ASJC Scopus subject areas
- Computer Science Applications
- Radiology Nuclear Medicine and imaging